Qingyang Wu
YOU?
Author Swipe
View article: Deep Learning-Driven Automatic Segmentation of Weeds and Crops in UAV Imagery
Deep Learning-Driven Automatic Segmentation of Weeds and Crops in UAV Imagery Open
Accurate segmentation of crops and weeds is essential for enhancing crop yield, optimizing herbicide usage, and mitigating environmental impacts. Traditional weed management practices, such as manual weeding or broad-spectrum herbicide app…
View article: Temperature, Air Pollution, and Cardiopulmonary Diseases: A Multi-City Analysis of Morbidity and Mortality in Japan
Temperature, Air Pollution, and Cardiopulmonary Diseases: A Multi-City Analysis of Morbidity and Mortality in Japan Open
View article: Effects of ambient temperature on electric vehicle electricity consumption are reduced in a warming world
Effects of ambient temperature on electric vehicle electricity consumption are reduced in a warming world Open
View article: Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision
Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision Open
Recent advances in unmanned aerial vehicle (UAV) technology combined with deep learning techniques have greatly improved agricultural monitoring. However, accurately processing images at low resolutions remains challenging for precision cu…
View article: Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring
Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring Open
Accurately detecting roses in UAV-captured greenhouse imagery presents significant challenges due to occlusions, scale variability, and complex environmental conditions. To address these issues, this study introduces ROSE-MAMBA-YOLO, a hyb…
View article: Multi-granularity alignment for crop diseases detection
Multi-granularity alignment for crop diseases detection Open
View article: Road to Clean Skies: Assessing the Effects of Low-Carbon Transport Systems Policy on Monthly Air Pollution
Road to Clean Skies: Assessing the Effects of Low-Carbon Transport Systems Policy on Monthly Air Pollution Open
View article: CausalEval: Towards Better Causal Reasoning in Language Models
CausalEval: Towards Better Causal Reasoning in Language Models Open
View article: Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques
Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques Open
Recent advances in unmanned aerial vehicles (UAVs) technology and deep learning have revolutionized agricultural monitoring, yet challenges remain in processing low-resolution field imagery for precision floriculture. Here, we presented an…
View article: Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area
Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area Open
Air pollution, particularly PM2.5 and PM10, presents substantial challenges in China’s major urban agglomerations: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD). Vegetation reduces fine particles in th…
View article: CausalEval: Towards Better Causal Reasoning in Language Models
CausalEval: Towards Better Causal Reasoning in Language Models Open
Causal reasoning (CR) is a crucial aspect of intelligence, essential for problem-solving, decision-making, and understanding the world. While language models (LMs) can generate rationales for their outputs, their ability to reliably perfor…
View article: Temperature fluctuations, climate uncertainty, and financing hindrance
Temperature fluctuations, climate uncertainty, and financing hindrance Open
Undesirable temperature fluctuations pose significant financial risks for enterprises. By merging fine‐grained meteorological data with a panel of publicly listed firms, we delve into the relationship between temperature volatility and fin…
View article: GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy
GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy Open
To ensure the sustainable development of artificial intelligence (AI) application in urban and geospatial science, it is important to protect the geographic privacy, or geo-privacy, which refers to an individual’s geographic location detai…
View article: LIONs: An Empirically Optimized Approach to Align Language Models
LIONs: An Empirically Optimized Approach to Align Language Models Open
Alignment is a crucial step to enhance the instruction-following and conversational abilities of language models. Despite many recent work proposing new algorithms, datasets, and training pipelines, there is a lack of comprehensive studies…
View article: DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting Open
Coherence in writing, an aspect that second-language (L2) English learners often struggle with, is crucial in assessing L2 English writing. Existing automated writing evaluation systems primarily use basic surface linguistic features to de…
View article: How does extreme heat affect carbon emission intensity? Evidence from county-level data in China
How does extreme heat affect carbon emission intensity? Evidence from county-level data in China Open
This study investigates the impact of increasingly frequent extreme heat events due to climate change on carbon emission intensities in China. Using spline regressions on county-level data from 2000 to 2019, we identify an asymmetric U-sha…
View article: From bits to emissions: how FinTech benefits climate resilience?
From bits to emissions: how FinTech benefits climate resilience? Open
With financial technology (FinTech) emerging as a pivotal force driving business model innovation and reshaping market competitiveness, its potential contribution to sustainability has garnered widespread attention. Drawing on carbon emiss…
View article: Robots, firm relocation, and air pollution: unveiling the unintended spatial spillover effects of emerging technology
Robots, firm relocation, and air pollution: unveiling the unintended spatial spillover effects of emerging technology Open
Amidst the global upsurge in industrial robot deployment, there remains a notable gap in our understanding of their environmental impact. This paper explores how the introduction of industrial robots has changed air quality at both the loc…
View article: Extreme Heat, Supply Chain Risks and Enterprise Performance
Extreme Heat, Supply Chain Risks and Enterprise Performance Open
View article: Spatial-Temporal Heterogeneity of Vegetation Reduces Atmospheric Pollution Particles in the East China Metropolitan Area
Spatial-Temporal Heterogeneity of Vegetation Reduces Atmospheric Pollution Particles in the East China Metropolitan Area Open
View article: kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning Open
Task-Oriented Parsing (TOP) enables conversational assistants to interpret user commands expressed in natural language, transforming them into structured outputs that combine elements of both natural language and intent/slot tags. Recently…
View article: DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems Open
Dialogue act annotations are important to improve response generation quality in task-oriented dialogue systems. However, it can be challenging to use dialogue acts to control response generation in a generalizable way because different da…
View article: DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems Open
Dialogue act annotations are important to improve response generation quality in task-oriented dialogue systems. However, it can be challenging to use dialogue acts to control response generation in a generalizable way because different da…
View article: The Green Bonus of Tax Incentives: Evidence from China
The Green Bonus of Tax Incentives: Evidence from China Open
View article: The Spatial Spillover Effects of Industrial Robots on Air Quality in China
The Spatial Spillover Effects of Industrial Robots on Air Quality in China Open
View article: Carbon Capitalism in China: Does Carbon Emission Trading Widen the Divide of Carbon Emission Inequality?
Carbon Capitalism in China: Does Carbon Emission Trading Widen the Divide of Carbon Emission Inequality? Open
View article: From Green Energy to Brown Earth: The Unintended Effects of Wind Farms on Plant Diversity
From Green Energy to Brown Earth: The Unintended Effects of Wind Farms on Plant Diversity Open
View article: Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth
Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth Open
：This paper uses the balanced panel data from 29 provinces (autonomous regions and municipalities) in China for a total of 17 years from 2000 to 2016 as a research sample, and establishes an empirical model to examine the impact of environ…
View article: Perception Score: A Learned Metric for Open-ended Text Generation Evaluation
Perception Score: A Learned Metric for Open-ended Text Generation Evaluation Open
Automatic evaluation for open-ended natural language generation tasks remains a challenge. We propose a learned evaluation metric: Perception Score. It utilizes a pre-trained model and considers context information for conditional generati…
View article: TextGAIL: Generative Adversarial Imitation Learning for Text Generation
TextGAIL: Generative Adversarial Imitation Learning for Text Generation Open
Generative Adversarial Networks (GANs) for text generation have recently received many criticisms, as they perform worse than their MLE counterparts. We suspect previous text GANs' inferior performance is due to the lack of a reliable guid…